Joseph J. Pfeiffer III

CoRR, 2021

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction.

[BibT_eX]

[DOI]

Shuxi Zeng

Murat Ali Bayir

Denis Charles

Emre Kiciman

Proceedings of the WSDM '21, 2021

2020

Causal Inference in the Presence of Interference in Sponsored Search Advertising.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Incentivized Social Sharing: Characteristics and Optimization.

[BibT_eX]

[DOI]

Elena Zheleva

Proceedings of the Influence and Behavior Analysis in Social Networks and Social Media, 2019

2018

Scalable and exact sampling method for probabilistic generative graph models.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

Unbiased Estimation of the Value of an Optimized Policy.

[BibT_eX]

[DOI]

Elon Portugaly

CoRR, 2018

Modeling and Simultaneously Removing Bias via Adversarial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Optimizing the Effectiveness of Incentivized Social Sharing.

[BibT_eX]

[DOI]

Elena Zheleva

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2015

Overcoming uncertainty for within-network relational machine learning

[BibT_eX]

[DOI]

PhD thesis, 2015

Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

Modeling Website Topic Cohesion at Scale to Improve Webpage Classification.

[BibT_eX]

[DOI]

Dhivya Eswaran

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Incorporating Assortativity and Degree Dependence into Scalable Network Models.

[BibT_eX]

[DOI]

Stephen Mussmann

John Moore

Joseph John Pfeiffer III

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Attributed graph models: modeling network structure with correlated attributes.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Assortativity in Chung Lu Random Graph Models.

[BibT_eX]

[DOI]

Stephen Mussmann

John Moore

Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014

Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Scalable Method for Exact Sampling from Kronecker Family Models.

[BibT_eX]

[DOI]

Sergey Kirshner

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference.

[BibT_eX]

[DOI]

Joseph John Pfeiffer III

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012

Fast Generation of Large Scale Social Networks with Clustering

[BibT_eX]

[DOI]

Timothy La Fond

CoRR, 2012

Fast Generation of Large Scale Social Networks While Incorporating Transitive Closures.

[BibT_eX]

[DOI]

Timothy La Fond

Proceedings of the 2012 International Conference on Privacy, 2012

2011

Using Bayesian Filtering to Localize Flexible Materials During Manipulation.

[BibT_eX]

[DOI]

Robert Platt Jr.

Frank Permenter

Joel Pfeiffer

IEEE Trans. Robotics, 2011

Methods to Determine Node Centrality and Clustering in Graphs with Uncertain Structure.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2009

A general framework for reconciling multiple weak segmentations of an image.

[BibT_eX]

[DOI]

Soumya Ghosh